About me

I am a statistician working on Generalized Additive Models (GAMs) at the University of Bristol. Broadly, my research aims at developing new statistical methodology and software (mainly R packages) for tackling interesting scientific and industrial problems. I am particularly interested in forecasting applications in the electricity industry, and this part of my work is performed in collaboration with Électricité de France (EDF) R&D. My other research interests are intractable likelihoods and importance sampling.

I am currently to supervising the following PhD students:

• Daniel Ward, sponsored by Improbable.io and co-supervised by Mark Beaumont, Patrick Cannon and Sebastian Schmon;
• Euan Enticott, sponsored by EDF and co-supervised by Nick Whiteley and Yannig Goude;
• Hui Yan, sponsored by EDF and co-supervised by Haeran Cho and Yannig Goude;
• Ben Griffiths, sponsored by EDF and co-supervised by Yannig Goude.
• Xinyue Guan, co-supervised by Haeran Cho.

Beside doing research, I enjoy teaching short courses on GAM modelling, so if you are interested in organizing one don’t hesitate to contact me.